Deep learning‐based cortical thickness maps for diagnosis of neurodegenerative diseases: a rater study
Abstract INTRODUCTION Cortical atrophy patterns on magnetic resonance imaging (MRI) are essential for diagnosing neurodegenerative diseases (NDs), but remain challenging to assess visually. Deep learning enables quantitative evaluation of cortical thickness (CTh) and z‐score maps. METHODS 3T three‐dimensional T1 MRI fr...